{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "23c6340d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据预览:\n",
      "             name                                               logo  \\\n",
      "0       PyTorch3D  logos/88318438fc9c2bbc4989daf11182ed9ec9e685c4...   \n",
      "1          Captum  logos/2abc1fc7558376c329b2798f7bcde761b3644e88...   \n",
      "2  Albumentations  logos/9c283e8d47d4c3f87139e047313bbb92c6f038a2...   \n",
      "3        Anomalib  logos/79211c70ad6c0b096a678d6642e449e908438c6b...   \n",
      "4           docTR  logos/a5efec22de5026d7c71d2362aeb47644c441dbba...   \n",
      "\n",
      "   category               subcategory  2025_value  \n",
      "0  Modeling                        3D       71.86  \n",
      "1  Modeling  Adversarial & Robustness       90.99  \n",
      "2  Modeling           Computer Vision      120.87  \n",
      "3  Modeling           Computer Vision      209.13  \n",
      "4  Modeling           Computer Vision      105.85  \n",
      "\n",
      "数据信息:\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 61 entries, 0 to 60\n",
      "Data columns (total 5 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   name         61 non-null     object \n",
      " 1   logo         61 non-null     object \n",
      " 2   category     61 non-null     object \n",
      " 3   subcategory  61 non-null     object \n",
      " 4   2025_value   61 non-null     float64\n",
      "dtypes: float64(1), object(4)\n",
      "memory usage: 2.5+ KB\n",
      "None\n",
      "\n",
      "统计结果:\n",
      "         category                   subcategory  counts\n",
      "0        Modeling                            3D       1\n",
      "1        Modeling      Adversarial & Robustness       1\n",
      "2        Modeling               Computer Vision       6\n",
      "3        Modeling                      Language       5\n",
      "4        Modeling             Medical & Biology       4\n",
      "5        Modeling                    Multimodal       1\n",
      "6        Modeling                       Quantum       1\n",
      "7        Modeling        Reinforcement Learning       1\n",
      "8        Modeling                   Specialized       6\n",
      "9   Optimizations          Compilers & Runtimes       5\n",
      "10  Optimizations                   Distributed       1\n",
      "11  Optimizations                       General       9\n",
      "12  Optimizations                         MLOps       4\n",
      "13       Training                   Distributed       2\n",
      "14       Training            Federated Learning       1\n",
      "15       Training                       General       7\n",
      "16       Training                         Graph       1\n",
      "17       Training                       Privacy       2\n",
      "18       Training  Probabilistic & Optimization       2\n",
      "19       Training        Reinforcement Learning       1\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 读取CSV文件\n",
    "df = pd.read_csv('filtered_data_2修改基金会项目.csv')\n",
    "\n",
    "# 检查数据\n",
    "print(\"数据预览:\")\n",
    "print(df.head())\n",
    "print(\"\\n数据信息:\")\n",
    "print(df.info())\n",
    "\n",
    "# 统计每个category下各subcategory的数量\n",
    "category_stats = df.groupby(['category', 'subcategory']).size().reset_index(name='counts')\n",
    "\n",
    "# 获取所有唯一的category\n",
    "categories = category_stats['category'].unique()\n",
    "\n",
    "print(\"\\n统计结果:\")\n",
    "print(category_stats)\n",
    "# 设置支持中文的字体\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 使用黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决负号显示问题\n",
    "# 为每个category创建横向条形图\n",
    "for category in categories:\n",
    "    # 筛选当前category的数据\n",
    "    category_data = category_stats[category_stats['category'] == category].sort_values('counts', ascending=True)\n",
    "    \n",
    "    # 创建图形\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    \n",
    "    # 创建横向条形图\n",
    "    bars = plt.barh(category_data['subcategory'], category_data['counts'], color='lightblue')\n",
    "    \n",
    "    # 添加数据标签\n",
    "    for bar in bars:\n",
    "        width = bar.get_width()\n",
    "        plt.text(width + 0.1, bar.get_y() + bar.get_height()/2, \n",
    "                 f'{int(width)}', \n",
    "                 va='center')\n",
    "    \n",
    "    # 设置图表标题和标签\n",
    "    plt.title( category, fontsize=16,fontname='Arial')\n",
    "    # 调整 y 轴刻度标签（柱子左侧文字）的字号和字体\n",
    "    plt.yticks(\n",
    "        fontsize=16,       # 字号（默认通常为 10-12）\n",
    "        fontname='Arial'  # 字体（需系统支持，如 'Arial', 'SimHei' 等）\n",
    "    )\n",
    "    \n",
    "    # 调整布局防止标签被截断\n",
    "    plt.tight_layout()\n",
    "    \n",
    "    # 显示图表\n",
    "    plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
